This workshop tries to present R language as a Structured programming language. This gives the audiences a deeper knowledge to solve programming problems. Statistical computing is wide area that can cover all statistical topics, such as Linear models, parameter estimation, inferences, simulation, Markov Chain Monte Carlo, Bootstrap, Time series, Bayesian statistics, Multilevel modeling, Mixed models, EM-Algorithms, and all other statistical problems. Discussing all topics in this short workshop is impossible but to illustrate the statistical computing problems, some numerical methods such as optimization are combined with statistical computing problems like maximum likelihood. UPM Jan 2015

Statistical Consulting

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Master Research: Truncated dataLet X, Y, be two positive random variable, the generic random variable X, is left truncated by truncation variable Y, (or X is right truncated by X), if the vector (X,Y) can only observed when X>Y